Ekyam: The AI-Native Data and Integration Platform for Modern Commerce

Ekyam is built for one purpose: to give retailers and consumer brands a clean, unified, and AI-ready operational data foundation. The platform connects and normalizes data via a chronicle model across ERP, WMS, OMS, ecommerce, POS, and EDI systems, then layers a retail-specific ontology and knowledge graph on top. This ensures inventory, order, and fulfillment data is not only integrated in real time but contextualized for analytics, AI agents, and safe automation.

The Problem
Most retail tech stacks are fragmented. Systems model data differently, updates happen in delayed batches, and identifiers like SKUs, locations, and vendors don’t match across platforms. This causes stockouts, oversells, slow decision-making, and unreliable AI outputs. Without a clean, real-time data foundation, even the most sophisticated planning tools and AI agents fail to deliver consistent results.

The Ekyam Architecture

Integration Layer – Prebuilt connectors for retail systems ingest operational events (orders, shipments, returns, receipts) in near real time. Declarative mapping tools replace brittle, custom ETL, reducing time to onboard new partners or channels from months to days.
Data Foundation Layer – Ekyam applies a retail ontology and knowledge graph to harmonize product, order, and inventory concepts. This ensures semantic consistency, enabling accurate cross-system reporting and eliminating “garbage in, garbage out” scenarios for AI.
Activation Layer: Data is accessible via APIs, SQL, GraphQL, logging platform or data lake. You can also activate Ekyam GPT—your business’ proprietary natural language interface for operational insights.

Key Features & Benefits

Real-Time Cross-Channel Inventory Visibility – Ekyam unifies available-to-sell calculations across stores, DCs, vendors, and in-transit inventory, delivering accurate promises to customers.
AI-Ready Data – Clean, normalized, and context-rich datasets feed AI agents and advanced analytics without the risk of misinterpretation or hallucination.
Rapid Integration – Move data between systems intelligently and with purpose. Ekyam provides a no API solution with our Universal Connector

Retail Knowledge Graph – Connects SKUs to orders, locations, vendors, and customers, enabling granular insights like “Which top SKUs will stock out in the next 72 hours by store cluster?”
Safe, Composable Automation – Policy-based agent actions with human-in-the-loop approval ensure automation enhances operations without risk.
Fully Managed - Ekyam fully manages to the L0 and L1 levels so that clients can focus resources on their roadmaps. We can manage implementations or partner with SIs.

Why Ekyam vs. iPaaS or BI Tools
Traditional iPaaS connects apps but are time consuming, resource intensive and lack semantic models; BI tools visualize data but rely on clean inputs. Ekyam unifies, contextualizes, and activates retail operational data so it’s trustworthy, real time, and ready for both analytics and automation.

Use Cases:

Merchandising: Forecast and prevent stockouts using real-time, location-level ATS.
Ecommerce Ops: Monitor oversell risk per channel and auto-adjust availability.
Supply Chain: Detect vendor SLA violations and short-ship patterns early.
Finance: Spot margin leakage from late-stage markdowns or over-shipping.
Proprietary GPT: Deploy your own natural language GPT on top of your AI ready data leveraging our MCP server and pre-built tools.

Ekyam is the single source of truth for operational data in retail. By delivering real-time visibility, eliminating integration bottlenecks, and preparing your data for AI, Ekyam enables CTOs, CDOs and operations leaders to reduce risk, boost margin, and unlock new levels of agility in their commerce operations.

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